1:0 Introduction

 

In this report, I will discuss three concepts. These
concepts include data, information and knowledge. I will then further discuss
an organisation which is Tesco and explain their data manipulation practices. I
will then conclude the report by explaining the different improvements that I see
necessary for the organisation.

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2:0 Data

 

“Data is raw. It simply exists and has no significance
beyond its existence (in and of itself). It can exist in any form, usable or
not. It does not have meaning of itself” (Ballinger, Castro and mills, 2004)

Data is not organised and neither is it processed. For example,
100 is data however it’s not been organised therefore it has no meaning towards
it.

Data can come from a number of sources. These sources
include internal organisation data. These are customers, logistics,
manufacturing, products and also devices. They can also come from External
organisation data. This includes social media – Instagram, twitter and Facebook.
Also included in external organisational data is suppliers, competitors and
government or national statistics. There are three main types of data: (Kaya, 2017)

 

 

2.1 Structured data

 

This type of data is greatly organised compared with other
types of data. This allows systems with specific software to easily search and
as a result set correctly or organise the data based on search criteria. This
type of data is also defined too. This occurs before the data is collected. The
advantage of structured data is that we already know how it will be organised.
This is because we already know the data representation. This includes numbers,
currency, dates and addresses. Structured data proves to be a more efficient due
to its cost efficiency. It is efficient to store, analyse and not only this but
also to capture the information. An example of structured data is an
application for example for a license. It would ask you information the title
and gender etc. (Kaya, 2017)

 

2.2 Unstructured data

 

This type of data does not necessarily find a place into any
database that has been predefined. It is more human language rather than numbers
however it can still contain numbers and also media type of information. This
type of data has a massive amount of representation compared to the other types
of data. It represents a massive 95% of all data. A disadvantage however when
it comes to determining efficiency is that this type of data is very expensive
to analyse. Examples of this type of data is multimedia, blogs, audio and
presentations.

 

“Intelligence can be found from a wider range of sources
than the formal and structured outputs of business transactions. Business
intelligence might derive from the content or destination of e-mails, logs of
borrowing activity on websites, content of web pages and so on.” (Curtis and Cobham, 2013)

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